At a Glance
- Tasks: Analyse data, develop AI models, and create innovative solutions for credit risk.
- Company: Join a leading global financial institution with a focus on innovation.
- Benefits: Competitive salary up to £90K, hybrid work, pension, and bonus.
- Other info: Great career development opportunities in a dynamic and collaborative environment.
- Why this job: Make an impact in finance by leveraging cutting-edge AI and analytics.
- Qualifications: Numerical degree, experience in data analysis, machine learning, and proficiency in Python.
The predicted salary is between 70000 - 90000 £ per year.
I’m helping one of the world’s great financial institutions recruit a Data & Analytics AI Consultant to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data.
Responsibilities
- Conduct in-depth analysis of data available to the company and its partners.
- Collaborate with product managers to conduct market research and validate product needs.
- Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.
- Contribute to the creation of business cases for proposed AI solutions.
- Evaluate the feasibility and potential impact of AI projects.
- Provide technical guidance and support to junior analysts.
- Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions.
- Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise.
- Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
- Lead the development of projects with multiple deliverables, leveraging business and technical expertise.
- Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc., encouraging enhanced solutions.
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users.
- Communicate results to external stakeholders and mid-level leadership, able to communicate business impact of work.
- Consultants are responsible for providing internal & external clients with analytical support and project analysis. This includes answering client queries related to data characteristics, scores and also involvement in analytical projects, for example, credit strategy development, model development and other bespoke analytics to solve client specific problems.
Qualifications
- Relevant numerical degree with a 2:1 or above.
- Solid experience in data analysis, machine learning, and AI development.
- Hands-on experience with cloud-based AI platforms and tools.
- Proficiency in programming languages such as Python and SQL.
- Credit Bureau experience & Scorecards an advantage.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a team.
- Good communication and presentation and visualisation skills.
- Strong experience in a related analytical role.
- Proven track record of designing and developing predictive models in real-world applications.
- Experience with model performance evaluation and predictive model optimization for accuracy and efficiency.
- Cloud certification strongly preferred.
- Additional role-based certifications may be required depending upon region/BU requirements.
- Experience in programming languages SQL and Python in a credit risk environment.
- An innovative mindset and attention to detail.
This is a hybrid position requiring 3 days in the office and 2 work from home. Office is in Leeds. Salary is a basic up to £90K + exceptional package, pension, bonus. The salary is a basic between £70-90K depending on experience. This is a fantastic opportunity to work for one of the world's great finance companies in a very visible and important position with great career development prospects.
Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) in Bradford employer: Ventula Consulting
Join one of the world's leading financial institutions as a Credit Risk AI Consultant, where you will thrive in a dynamic work culture that fosters innovation and collaboration. With a competitive salary package, exceptional benefits, and opportunities for professional growth, this role in Leeds offers a unique chance to make a significant impact in the field of data analytics and AI. Embrace the hybrid work model that promotes work-life balance while being part of a team dedicated to pushing the boundaries of what's possible with big data.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) in Bradford
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in credit risk or AI. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you land that interview, make sure to showcase your skills with real examples. Talk about projects you've worked on, especially those involving data analysis or AI models. We want to see how you’ve tackled challenges and what innovative solutions you’ve come up with!
✨Ask Smart Questions
During interviews, don’t just wait for them to ask you questions. Prepare some insightful ones about their data strategies or AI initiatives. This shows you’re genuinely interested and have done your homework, which can really set you apart from other candidates.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) in Bradford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Credit Risk AI Consultant. Highlight your experience with data analysis, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you a perfect fit. Don't forget to mention your experience with AI models and cloud platforms – we love that stuff!
Showcase Your Projects:If you've worked on any cool projects related to credit risk or AI, make sure to include them in your application. We want to see your hands-on experience and how you've tackled real-world problems using data. It’s all about demonstrating your expertise!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Ventula Consulting
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Familiarise yourself with common data sources and how they can be combined. Being able to discuss specific examples of data analysis you've conducted will show your expertise and passion for the role.
✨Showcase Your AI Skills
Prepare to discuss your experience with AI models and algorithms, especially using platforms like Vertex AI and BQML. Bring examples of projects where you've developed or tested AI solutions, and be ready to explain the impact of your work on business outcomes.
✨Communicate Clearly
Since this role involves communicating complex findings to stakeholders, practice summarising your analytical results in a clear and engaging way. Use storytelling techniques to make your insights relatable and impactful, demonstrating your ability to bridge the gap between data and business needs.
✨Be Ready for Technical Questions
Expect technical questions related to Python, SQL, and machine learning concepts. Brush up on your programming skills and be prepared to solve problems on the spot. Showing confidence in your technical abilities will reassure the interviewers of your fit for the role.